Webbegin the task of computing the Fourier transforms of our chirps. In particular, we compute the magnitudes of the Fourier coefficients, and discuss their significance with respect … Web线性Chirp-Z变换算法可以密集计算局部频谱，提高局部频谱分辨率。根据单频信号加窗理论，频谱幅值最大点出现在真实频点上。因此，在高分辨率下，找到频谱的极大值，即可认为其是真实频点。Chirp-Z变换算法分析如下： 设x(n)表示N点序列，0≤n≤N-1，其Z变换为：

Application of Chirp-z Transform in Doppler Weather Radar

WebDec 31, 2005 · New topics in the third edition include: short-time characterization of discrete-time signals, expanded coverage of discrete-time Fourier transform and discrete Fourier transform, prime factor algorithm for DFT computation, sliding DFT, zoom FFT, chirp Fourier transform, expanded coverage of z-transform, group delay equalization of IIR … Webchirp信号通过非线性相位调制，具有很大的时宽带宽积，不仅解决了距离分辨力与探测距离之间的矛盾，而且具有好的速度分辨力，因而备受青睐。对比复合chirp信号以及单斜率chirp信号这两种信号的模糊函数图，－3 dB模糊度图，距离模糊函数图以及速度模糊函数 ... ios key features

Multidimensional chirp algorithms for computing Fourier …

The spectrum of a chirp pulse describes its characteristics in terms of its frequency components. This frequency-domain representation is an alternative to the more familiar time-domain waveform, and the two versions are mathematically related by the Fourier transform. The spectrum is of particular interest when … See more In the special case where s(t) is constrained to be a down-chirp, flat topped pulse with its instantaneous frequency varying as a linear function of time, then an analytical solution is possible. For convenience, … See more There is very little spectral content beyond the sweep frequency range of a chirp pulse and this is especially true for waveforms where the time-bandwidth product is large. … See more When the Frequency-Time characteristic is non-linear, the Fourier integral is difficult to evaluate. In such cases, it is possible to resort to an approximation method such as the See more • Pulse compression, a process which uses frequency or phase coded waveforms to improve the signal to noise of received signals. See more WebNov 17, 2014 · Your question is deeper than you think. For signals whose spectra is time varying,like your chirp signal, you lose this spectral variation information in simple Fourier transforms. You must consult time … WebDescription. Y = fft (X) computes the discrete Fourier transform (DFT) of X using a fast Fourier transform (FFT) algorithm. If X is a vector, then fft (X) returns the Fourier transform of the vector. If X is a matrix, then fft (X) … on this spot monumental dreams came to life