持續(xù)時間震級計算vb源碼。利用地震波持續(xù)時間同地震震級的相關(guān)性來反映震源強度，這就是持續(xù)時間震級(Duration Magnitude)
上傳時間： 2017-05-21
上傳用戶：wangchong
the programs are an introduction to DSP ,the programs illustrate the frequency response ,impulse response and Magnitude response
標(biāo)簽： programs the introduction illustrate
上傳時間： 2014-01-16
上傳用戶：AbuGe
This application note considers the design of frequency- selective filters, which modify the frequency content and phase of input signals according to some specification. Two classes of frequency-selective digital filters are considered: infinite impulse response (IIR) and finite impulse response (FIR) filters. The design process consists of determining the coefficients of the IIR or FIR filters, which results in the desired Magnitude and phase response being closely approximated.
標(biāo)簽： application considers frequency the
上傳時間： 2013-12-07
上傳用戶：chfanjiang
This application note considers the design of frequency- selective filters, which modify the frequency content and phase of input signals according to some specification. Two classes of frequency-selective digital filters are considered: infinite impulse response (IIR) and finite impulse response (FIR) filters. The design process consists of determining the coefficients of the IIR or FIR filters, which results in the desired Magnitude and phase response being closely approximated.
標(biāo)簽： application considers frequency the
上傳時間： 2014-01-04
上傳用戶：ardager
This sample program generates two sine waves called X and Y. It will then calculate the normalized Magnitude and phase of the two waveforms using the following formulas: Mag = sqrt(X^2 + Y^2)/sqrt(GainX^2 + GainY^2) Phase = (long) (atan2PU(X,Y) * 360) The program will prompt the user to change the gain and frequency of the X and Y waveforms.
標(biāo)簽： Y. normalized generates calculate
上傳時間： 2014-01-06
上傳用戶：123456wh
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(biāo)簽： matlab fft
上傳時間： 2015-11-23
上傳用戶：石灰?guī)r123
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(biāo)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
Recent decades have shown a tremendous expansion of the Internet. The number of connected terminals has increased by orders of Magnitude, traffic has grown exponen- tially, coverage has become ubiquitous and worldwide, and today’s sophisticated Web 2.0 applications are increasingly providing services which hitherto have been the realm of telecommunications, such as Skype and video conferencing. This has even led to the thought that access to the Internet might one day be a universal right of every citizen. This evolution will accelerate in the coming decades.
標(biāo)簽： Networking Personal Networks Wireless
上傳時間： 2020-05-31
上傳用戶：shancjb
直接調(diào)制將基帶信號直接轉(zhuǎn)換為射頻信號，不需要二次頻率變換，與上變頻方式相比系統(tǒng)結(jié)構(gòu)簡單，降低了對濾波器的要求，具有體積小，重量輕，成本低等明顯的優(yōu)點.1/Q正交調(diào)制的關(guān)鍵指標(biāo)是誤差矢量（EVM：Error Vector Magnitude）.本文研究的是微波波段的直接調(diào)制技術(shù)。利用基帶對L波段和s波段幾個不同的載波進(jìn)行直接調(diào)制。首先，在闡述1/Q正交調(diào)制基本原理的基礎(chǔ)上，通過對誤差矢量和鄰近信道功率泄漏的詳細(xì)分析，定性、定量地討論了各種非理想電路因素（如相位不平衡、幅度不平衡、直流偏差等）對調(diào)制器性能的影響；其次，介紹了鎖相環(huán)的工作原理和基本組成部分，包括鎖相環(huán)的設(shè)計和環(huán)路濾波器的設(shè)計，特別詳述了電荷泵鎖相頻率源；第三，介紹了采用直接調(diào)制技術(shù)模擬衛(wèi)星信號的射頻前端的設(shè)計；最后，對整個直接射頻調(diào)制系統(tǒng)進(jìn)行測試，結(jié)果基本上達(dá)到了課題要求。關(guān)鍵詞：微波鎖相環(huán)，相位噪聲，直接調(diào)制
標(biāo)簽： 射頻調(diào)制
上傳時間： 2022-06-20
上傳用戶：
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