The basic structure of turbo codes, both at the transmitter and receiver ends, and characterizes their performance over a noisy channel using components from the Communications System
This model shows how to simulate a phase-locked loop (PLL) frequency synthesizer. The model multiplies the frequency (synFr) of a reference signal by a constant synN/synM, to produce a
This model shows a satellite link, using the blocks from the Communications System Toolbox™ to simulate the following impairments:
This model shows how to use the Rayleigh and Rician multipath fading channel blocks from the Communications System Toolbox™. Rayleigh and Rician fading channels are useful models of
This model shows symbol timing adjustments using interpolation and numerically controlled oscillator (NCO) based control as part of clock recovery in a digital modem as described in the
This model shows the implementation of a QPSK transmitter and receiver. The receiver addresses practical issues in wireless communications, e.g. carrier frequency and phase offset,
This model shows part of the ETSI (European Telecommunications Standards Institute) EN 300 744 standard for terrestrial transmission of digital television signals. The standard
This model shows the state-of-the-art channel coding scheme used in the second generation Digital Video Broadcasting standard (DVB-S.2), planned to be deployed by DIRECTV in the United
This model shows the full duplex communication between two Bluetooth® devices. Both data packets and voice packets can be transmitted between the two devices:
This model shows an adaptive orthogonal space-time block code (OSTBC) transceiver system over a multiple-input multiple-output (MIMO) channel. The system uses a variable number of
This model shows transmission and reception of beacon frames in an 802.11 based wireless local area network (WLAN) as described in [ 1 ]. The beacon frame is a type of management frame. It
This model shows a simple Bluetooth® wireless data link. Bluetooth is a short-range radio link technology that operates in the 2.4 GHz Industrial, Scientific, and Medical (ISM) band. The
This model shows the effects of adjacent and co-channel interference on a PSK modulated signal. The model includes two interferers, Interferer 1 and Interferer 2. The model enables you to
HDL code generation support for the Viterbi Decoder block. It shows how to check, generate, and verify the HDL code you generate from a fixed-point Viterbi Decoder model. This example also
This model shows how to use the Convolutional Encoder and Viterbi Decoder blocks to simulate a tail-biting convolutional code. Terminating the trellis of a convolutional code is a key
This model shows part of the frequency division duplex (FDD) downlink physical layer of the third generation wireless communication system known as wideband code division multiple access
This model shows the improvement in BER performance when using log-likelihood ratio (LLR) instead of hard decision demodulation in a convolutionally coded communication link.
This model shows part of the ETSI (European Telecommunications Standards Institute) EN 300 429 standard for cable system transmission of digital television signals . The standard
This model shows how to simulate a phase-locked fractional-N frequency synthesizer. The model multiplies the frequency synFr of a reference signal by a constant synN+synM, to produce a
Reception of beacon frames in an 802.11 wireless local area network (WLAN) as described in [ 1 ]. For more information refer to the IEEE 802.11 WLAN - Beacon Frame example.
Implement a 64-QAM transmitter and receiver for HDL code generation and hardware implementation. These models are based on the models HDL Optimized QPSK Transmitter and HDL Optimized QPSK
This model shows the use of a CORDIC (COordinate Rotation DIgital Computer) rotation algorithm in a digital PLL (Phase Locked Loop) implementation for QPSK carrier synchronization.
This model shows part of a Bluetooth® v1.0 system. Bluetooth is a short-range radio link technology that operates in the 2.4 GHz Industrial, Scientific, and Medical (ISM) band. The example
Detect and track cars in a video sequence using optical flow estimation.
Segment video in time. The algorithm in this example can be used to detect major changes in video streams, such as when a commercial begins and ends. It can be useful when editing video or when
Track objects at a train station and to determine which ones remain stationary. Abandoned objects in public areas concern authorities since they might pose a security risk. Algorithms,
Remove periodic noise from a video. In a video stream, periodic noise is typically caused by the presence of electrical or electromechanical interference during video acquisition or
Use sum of absolute differences (SAD) method for detecting motion in a video sequence. This example applies SAD independently to four quadrants of a video sequence. If motion is detected in a
Detect and count cars in a video sequence using Gaussian mixture models (GMMs).
Recognize traffic warning signs, such as Stop, Do Not Enter, and Yield, in a color video sequence.
Detect and track road lane markers in a video sequence and notifies the driver if they are moving across a lane. The example illustrates how to use the Hough Transform, Hough Lines and Kalman
Compress a video using motion compensation and discrete cosine transform (DCT) techniques. The example calculates motion vectors between successive frames and uses them to reduce
Use the Hough Transform and Polyfit blocks to horizontally align text rotating in a video sequence. The techniques illustrated by this example can be used in video stabilization and optical
Create a mosaic from a video sequence. Video mosaicking is the process of stitching video frames together to form a comprehensive view of the scene. The resulting mosaic image is a compact
Use color information to detect and track road edges set in primarily residential settings where lane markings may not be present. The Color-based Tracking example illustrates how to use
Use a combination of basic morphological operators and blob analysis to extract information from a video stream. In this case, the example counts the number of E. Coli bacteria in each video
Create an image processing system which can recognize and interpret a GTIN-13 barcode. The GTIN-13 barcode, formally known as EAN-13, is an international barcode standard. It is a superset
Use the From Video Device block provided by Image Acquisition Toolbox™ to acquire live image data from a Hamamatsu C8484 camera into Simulink®. The Prewitt method is applied to find the edges
Use basic morphological operators to extract information from a video stream. In this case, the model counts the number of staples in each video frame. Note that the focus and lighting change
Use the From Video Device block provided by Image Acquisition Toolbox™ to acquire live image data from a Point Grey Flea® 2 camera into Simulink®. The example uses the Computer Vision System
Remove the effect of camera motion from a video stream. In the first video frame, the model defines the target to track. In this case, it is the back of a car and the license plate. It also
Inspect the concentricity of both the core and the cladding in a cross-section of optical fiber. Concentricity is a measure of how centered the core is within the cladding.
Determine whether video frames are in focus by using the ratio of the high spatial frequency content to the low spatial frequency content within a region of interest (ROI). When this ratio is
Process surveillance video to select frames that contain motion. Security concerns mandate continuous monitoring of important locations using video cameras. To efficiently record,
Model analog-to-digital conversion using a sigma-delta algorithm implementation.
Simulate steady-state behavior of a fixed-point digital down converter for GSM (Global System for Mobile) baseband conversions. The example model uses blocks from Simulink® and the DSP
Uses the Dyadic Analysis Filter Bank and Dyadic Synthesis Filter Bank blocks to show both the perfect reconstruction property of wavelets and an application for noise reduction.
Demonstrates how to generate HDL code for a discrete FIR filter with multiple input data streams.
Demonstrates how to generate HDL code for a programmable FIR filter. You can program the filter to a desired response by loading the coefficients into internal registers using the host
Showcases a block that outputs the streaming power spectrum estimate of a time-domain input via Welch's method of averaged modified periodograms.
Estimate the group delay of a filter in Simulink. Group delay is defined as -d(phi(f))/d(f). To estimate the group delay of the filter extract the phase response and compute its negative
Perform high resolution spectral analysis by using an efficient polyphase filter bank sometimes referred to as a channelizer.
Beamform signals received by an array of microphones to extract a desired speech signal in a noisy environment. This Simulink® example is based on the MATLAB® example Acoustic Beamforming
How model of an automotive radar in Simulink for an adaptive cruise control (ACC) system, which is an important part of an advanced driver assistance system (ADAS). The example explores both
Model an end-to-end monostatic radar using Simulink®. A monostatic radar consists of a transmitter colocated with a receiver. The transmitter generates a pulse which hits the target and
Simulates a bistatic radar system with two targets. The transmitter and the receiver of a bistatic radar are not co-located and move along different paths.
In a radar system, the RF front end often plays an important role in defining the system performance. For example, because the RF front end is the first section in the receiver chain, the design
Use beamscan and minimum variance distortionless response (MVDR) techniques for direction of arrival (DOA) estimation in Simulink®. It is based on the MATLAB® example Direction of
Use Simulink® to suppress clutter and jammer interference from the received pulses of a monostatic radar. It illustrates how to model clutter and jammer interference as well as how to use the
Apply conventional and adaptive beamforming in Simulink® to a narrowband signal received by an antenna array. The signal model includes noise and interference. This example is based on the
Simulate a wideband radar system. A radar system is typically considered to be wideband when its bandwidth exceeds 5% of the system's center frequency. For this example, a bandwidth of 10%
Simulate delay-based and lumped-element transmission lines using blocks in the SimRF™ Circuit Envelope library. The example is sequenced to examine circuit envelope and passband
This model shows how to simulate a key multi-discipline design problem from the Aerospace Defense industry sector.
This model shows the nonlinear effect of a SimRF™ Equivalent Baseband amplifier on a 16-QAM modulated signal.
This model shows how to perform intermodulation analysis of an amplifier using the General Amplifier block from the SimRF™ Equivalent Baseband library. The parameters of the General
Use blocks from the SimRF™ Circuit Envelope library to simulate a transmit/receive duplex filter and calculate frequency response curves from a broadband white-noise input. Blocks from
Use the SimRF™ Circuit Envelope library to simulate noise and calculate noise power. Results are compared against theoretical calculations and a Communications System Toolbox™
Use the SimRF™ Circuit Envelope library to simulate the sensitivity performance of a direct conversion architecture with the following RF impairments:
Use two different options for modeling S-parameters with the SimRF™ Circuit Envelope library. Time-domain (rationalfit) technique creates an analytical rational model that
This model shows how to use harmonic balance to calculate the AC steady-state frequency response curve for an LC bandpass filter built using blocks from the SimRF™ Circuit Envelope library.
Model a digital video broadcasting system which includes phased array antennas. The baseband transmitter, receiver and channel are realized with Communication System Toolbox™. The RF
Use the SimRF™ Circuit Envelope library to measure the effect of noise figure on bit error rate (BER) of a SimRF RF receiver model and to verify the result by comparing to a Communications
Set up a radar system simulation consisting of the transmitter, channel with target and a receiver. This is a key multi- discipline problem in the Aerospace Defense industry. The RF sections
Use the SimRF™ Circuit Envelope library to simulate the performance of a Low IF architecture with the following RF impairments:
Use the SimRF™ Circuit Envelope library to test intermodulation distortion of an amplifier using two-carrier envelope analysis.
Use the SimRF™ Circuit Envelope library to calculate the image rejection ratio (IRR) for high-side-injection in Weaver and Hartley receivers. The Weaver receiver shows the effect of phase
Use Input Port and Output Port blocks of the SimRF™ Equivalent Baseband library to convert between dimensionless Simulink signals and equivalent-baseband signals.
This model shows how to use the General Passive Network block of the SimRF™ Equivalent Baseband library to model a bandpass filter whose S-parameters are specified in a Touchstone® data
This model shows how to perform intermodulation analysis of the amplifier block from the SimRF™ Idealized Baseband library.
This model shows how to use the General Amplifier block of the SimRF™ Equivalent Baseband library to model an amplifier whose parameters are specified in a data file. The data file
Use the Model-Based Design methodology to overcome the challenge of exchanging specifications, design information, and verification models between multiple design teams working on a
This model shows how to use LC Bandpass Tee blocks from the SimRF™ Equivalent Baseband library to create two Chebyshev I filters with passband ripples of 1 dB and 0.1 dB.
This model shows how to use blocks from the SimRF™ Equivalent Baseband library to simulate a bandstop Transmission Line filter and a bandstop Microstrip filter with a Gaussian random signal