An electrical engineering course on digital filter design.
You will design a fourth-order notch filter and investigate the effects of filter-coefficient quantization. You will compare the response of the filter having unquantized coefficients with that of a filter having coefficients quantized as a single, fourth-order stage and with that of a filter having coefficients quantized as a cascade of two, second-order stages.
The Digital Filter Design Utility is software that allows you to interactively specify and design floating point digital filters. This utility was created with LabVIEW and the Digital Filter Design Toolkit and compiled into a stand-alone application for your use. The full Digital Filter Design Toolkit contains a complete set of filter design tools for designing a wide range of floating point and fixed point digital filters within an open environment, using an easy-to-learn interactive graphical programming language.
You will design a fourth-order notch filter and investigate the effects of filter-coefficient quantization. You will compare the response of the filter having unquantized coefficients with that of a filter having coefficients quantized as a single, fourth-order stage and with that of a filter having coefficients quantized as a cascade of two, second-order stages.
Students are to implement and optimize a power spectral density estimator, a pseudo-noise (PN) sequence generator, and an IIR filter.
Students are to implement and optimize a power spectral density estimator, a pseudo-noise (PN) sequence generator, and an IIR filter.
This is a processor exercise in which students implement a spectrum analyzer using mixed C and assembly code. Students are to acquire a block of 1024 samples, apply a Hamming window, compute a length-1024 Discrete Fourier Transform using provided Fast Fo
