文件名称:CS2
下载
别用迅雷、360浏览器下载。
如迅雷强制弹出，可右键点击选“另存为”。
失败请重下，重下不扣分。
如迅雷强制弹出，可右键点击选“另存为”。
失败请重下，重下不扣分。
介绍说明－－下载内容均来自于网络，请自行研究使用
Python notebook file.
compressed sensing utilizing gaussian sensing.
where,
Both both A and 5 keys are presssed and
# sampling rate
Fs = 40e3
duration = 1./8
N_samps = int(np.floor(duration*Fs))
# Number of compressed basis functions
# i.e., we re going N_samps to M samps.-Python notebook file.
compressed sensing utilizing gaussian sensing.
where,
Both both A and 5 keys are presssed and
# sampling rate
Fs = 40e3
duration = 1./8
N_samps = int(np.floor(duration*Fs))
# Number of compressed basis functions
# i.e., we re going N_samps to M samps.
compressed sensing utilizing gaussian sensing.
where,
Both both A and 5 keys are presssed and
# sampling rate
Fs = 40e3
duration = 1./8
N_samps = int(np.floor(duration*Fs))
# Number of compressed basis functions
# i.e., we re going N_samps to M samps.-Python notebook file.
compressed sensing utilizing gaussian sensing.
where,
Both both A and 5 keys are presssed and
# sampling rate
Fs = 40e3
duration = 1./8
N_samps = int(np.floor(duration*Fs))
# Number of compressed basis functions
# i.e., we re going N_samps to M samps.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Exam_3(b)_moi352.ipynb