Pulse Shaping, Matched Filtering and Partial Response Signalingĭiscrete-time model for a system with pulse shaping and matched filtering Part IV Intersymbol Interference and Equalizers Simulation model for detection in flat fading channel Linear time invariant channel model and FIR filters Unified simulation model for performance simulation
Performance of Digital Modulations over Wireless Channels Optimum detector on IQ plane using minimum Euclidean distance Modulators for amplitude and phase modulationsĭemodulators for amplitude and phase modulations Passband and complex baseband equivalent modelĬomplex baseband representation of modulated signalĬomplex baseband representation of channel response Performance simulation of soft and hard decision decoding of hamming codesĭigital Modulators and Demodulators : Complex Baseband Equivalent Models Sub-optimal hard-decision decoding of linear block codes for AWGN channel Optimum soft-decision decoding of linear block codes for AWGN channel Generic capacity equation for discrete memoryless channel (DMC)Ĭapacity over binary symmetric channel (BSC)Ĭapacity over binary erasure channel (BEC)Ĭonstrained capacity of discrete input continuous output memoryless AWGN channelĮrror-detection and error-correction capability Unconstrained capacity for bandlimited AWGN channel Part II Channel Capacity and Coding Theory Generating multiple sequences of correlated random variables using Cholesky decomposition Generating two sequences of correlated random variables Random Variables - Simulating Probabilistic Systems Method 3: Using FFT to compute convolutionĬhoosing a filter : FIR or IIR : understanding the design perspective Multiplication of polynomials and linear convolution Representing single variable polynomial functions Polynomials, convolution and Toeplitz matrices
#Array2table matlab 2012 verification#
Reconstructing the time domain signal from the frequency domain samplesĬomputation of power of a signal - simulation and verification Representing the signal in frequency domain using FFT Obtaining magnitude and phase information from FFT Some observations on FFTShift and IFFTShift
#Array2table matlab 2012 license#
License Server support for Windows Vistaįirst release for 32-bit & 64-bit Microsoft Windows 7.įirst release for Intel 64-bit Mac, and last for Solaris SPARC.įirst release with Toolstrip interface. Last release for Windows 2000 and PowerPC Mac.
Required a math coprocessorįirst release with bundled Java Virtual Machine (JVM). Ran on MS-DOS but required at least a 386 processor.
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