《分析性寫作》，介紹言簡意賅： The popular, brief rhetoric that treats writing as thinking, WRITING ANALYTICALLY, Sixth Edition, offers a series of prompts that lead you through the process of analysis and synthesis and help you to generate original and well-developed ideas. The book's overall point is that learning to write well means learning to use writing as a way of thinking well. To that end, the strategies of this book describe thinking skills that employ writing. As you will see, this book treats writing as a tool of thought--a means of undertaking sustained acts of inquiry and reflection.
上傳時間： 2015-08-22
上傳用戶：東大寺的
Use the fast Fourier transform function fft to analyse following signal. Plot the original signal, and the magnitude of its spectrum linearly and logarithmically. Apply Hamming window to reduce the leakage. . The hamming window can be coded in Matlab as for n=1:N hamming(n)=0.54+0.46*cos((2*n-N+1)*pi/N); end; where N is the data length in the FFT.
標簽： matlab fft
上傳時間： 2015-11-23
上傳用戶：石灰巖123
Use fft to analyse signal by plotting the original signal and its spectrum.
標簽： matlab fft
上傳時間： 2015-11-23
上傳用戶：石灰巖123
綠色無廣告，解壓即可用，用于txt文件詞頻統計。
標簽： ROST
上傳時間： 2016-01-31
上傳用戶：azyyy
Goodrich版算法設計與基礎
標簽： 算法
上傳時間： 2016-02-09
上傳用戶：半年不見
調制解調課程設計 16QAM調制解調代碼。包括星座圖，頻譜分析，誤碼率分析。-16QAM modulation and demodulation curriculum design code modulation and demodulation. Including constellation, spectrum analysis, bit error rate analysis.
上傳時間： 2016-05-02
上傳用戶：ylqylq
一本從數據結構的基礎到深入剖釋的書籍，值得收藏。另一方面，為了獲取積分才把珍藏的英文版放上來。
標簽： Structures Algorithm Analysis Data and
上傳時間： 2016-07-26
上傳用戶：cee16
LDO 的環路分析，對涉及、分析LDO的工作原理有幫助。
上傳時間： 2017-09-09
上傳用戶：banjieshubi
The 4.0 kbit/s speech codec described in this paper is based on a Frequency Domain Interpolative (FDI) coding technique, which belongs to the class of prototype waveform Interpolation (PWI) coding techniques. The codec also has an integrated voice activity detector (VAD) and a noise reduction capability. The input signal is subjected to LPC analysis and the prediction residual is separated into a slowly evolving waveform (SEW) and a rapidly evolving waveform (REW) components. The SEW magnitude component is quantized using a hierarchical predictive vector quantization approach. The REW magnitude is quantized using a gain and a sub-band based shape. SEW and REW phases are derived at the decoder using a phase model, based on a transmitted measure of voice periodicity. The spectral (LSP) parameters are quantized using a combination of scalar and vector quantizers. The 4.0 kbits/s coder has an algorithmic delay of 60 ms and an estimated floating point complexity of 21.5 MIPS. The performance of this coder has been evaluated using in-house MOS tests under various conditions such as background noise. channel errors, self-tandem. and DTX mode of operation, and has been shown to be statistically equivalent to ITU-T (3.729 8 kbps codec across all conditions tested.
標簽： frequency-domain interpolation performance Design kbit_s speech coder based and of
上傳時間： 2018-04-08
上傳用戶：kilohorse
Test Analysis Software
標簽： NDepend
上傳時間： 2018-07-28
上傳用戶：teomondo
