The example performs Huffman encoding and decoding using a source whose alphabet has three symbols. Notice that the huffmanenco and huffmandeco functions use the dictionary created by
Compare, using eye diagrams, Gaussian minimum shift keying (GMSK) and minimum shift keying (MSK) modulation schemes.
how to construct an orthogonal frequency division modulation (OFDM) modulator/demodulator pair and to specify their pilot indices. The OFDM modulator System object enables you to
Encode and decode a sequence from a source having three symbols.
Employ raised cosine filtering to reduce inter-symbol interference (ISI) that results from a nonlinear amplifier.
Perform a symbol error rate (SER) simulation of an over-the-air OFDM communication link.
Attempt to correct for a frequency offset using the carrier synchronizer object. Increase the damping factor of the synchronizer and determine if the offset was corrected.
Determine the delay for a convolutionally encoded and filtered link. Use the delay to accurately determine the number of bit errors.
Generates a bit error rate versus Eb/No curve for a link that uses 16-QAM modulation and a rate 2/3 convolutional code in AWGN.
This model shows the behavior of least mean square (LMS) and recursive least square (RLS) adaptive equalizers in a communication link with a fading channel. The transmitter and receiver
This model shows the behavior of adaptive equalizer algorithms at a receiver for modulated data transmitted along a channel.
Transmit an LDPC-encoded, QPSK-modulated bit stream through an AWGN channel. Then demodulate, decode, and count errors.
Use the convolutional encoder and Viterbi decoder System objects to simulate a punctured coding system. The complexity of a Viterbi decoder increases rapidly with the code rate.
Filter a 16-QAM signal using a pair of square root raised cosine matched filters. Plot the eye diagram and scatter plot of the signal. After passing the signal through an AWGN channel,
Equalize a BPSK signal using a linear equalizer with an least mean square (LMS) algorithm.
Quantize an exponential signal with and without companding and compare the mean square distortions.
Simulate an end-to-end communication link employing 16-QAM using turbo codes in an AWGN channel. Estimate the bit error rate.
Use an OFDM modulator and demodulator in a simple, 2x2 MIMO error rate simulation. The OFDM parameters are based on the 802.11n standard.
Equalize a QAM signal passed through a frequency-selective fading channel using RLS and LMS algorithms. Compare the performance of the two algorithms.
Transmit and receive standard and shortened RS-encoded, 64-QAM-modulated data through an AWGN channel. Compare the performance of the standard and shortened codes.