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西安电子科技大学数字信号处理英文课件Chapter3 The Discrete-time Fourier Analysis
西安电子科技大学 数字信号处理 英文课件 Chapter3 The Discrete-time Fourier Analysis
2020/6/22
西安电子科技大学数字信号处理英文课件Chapter3 The Discrete-time Fourier Analysis。
西安电子科技大学数字信号处理英文课件Chapter2 Discrete-time Signal and Systems
西安电子科技大学 数字信号处理 英文课件 Chapter2 Discrete-time Signal Systems
2020/6/22
西安电子科技大学数字信号处理英文课件Chapter2 Discrete-time Signal and Systems。
ABOVEGROUND BIOMASS ESTIMATION USING RECONSTRUCTED FEATURE OF AIRBORNE DISCRETE-RETURN LIDAR BY AUTO-ENCODER NEURAL NETWORK
Aboveground Biomass (AGB) Estimation Discrete-Return LiDAR Regression Auto-Encoder Neural Network
2018/5/14
Aboveground biomass (AGB) estimation is critical for quantifying carbon stocks and essential for evaluating carbon cycle. In recent years, airborne LiDAR shows its great ability for highly-precision A...
延安大学数字信号处理课件Chapter 5 Discrete-Time System Structures
延安大学 数字信号处理 课件 Chapter 5 Discrete-Time System Structures
2018/3/15
延安大学数字信号处理课件Chapter 5 Discrete-Time System Structures。
延安大学数字信号处理课件Chapter 3 Finite-Length Discrete Transforms
延安大学 数字信号处理 课件 Chapter 3 Finite-Length Discrete Transforms
2018/3/15
延安大学数字信号处理课件Chapter 3 Finite-Length Discrete Transforms。
延安大学数字信号处理课件Chapter 1 Discrete-Time Signals and Systems
延安大学 数字信号处理 课件 Chapter 1 Discrete-Time Signals and Systems
2018/3/15
延安大学数字信号处理课件Chapter 1 Discrete-Time Signals and Systems。
第20届计算机图像分散几何学国际会议（20th International Conference on Discrete Geometry for Computer Imagery）
第20届 计算机图像分散几何学 国际会议
2017/3/21
The aim of the DGCI conference is to gather researchers in discrete geometry and topology, and discrete models, with applications in image analysis and image synthesis.
Discrete geometry plays an exp...
Learning Arbitrary Statistical Mixtures of Discrete Distributions
Randomized algorithms Mixture learning Transportation distance Kantorovich-Rubinstein duality
2016/1/22
We study the problem of learning from unlabeled samples very general statistical mixture models on large finite sets.Specifically, the model to be learned, ϑ, is a probability dis-tribution over ...
Nonparametric Regression with Discrete Covariate and Missing Values
Nonparametric Regression Discrete kernel smoothing Imputation Missing Values Variance Reduction
2016/1/19
We consider nonparametric regression with a mixture of continuous and discrete ex-planatory variables where realizations of the response variable may be missing. An impu-tation based nonparametric reg...
Side Ratio Constrain Based Precise Boundary Tracing Algorithm for Discrete Point Clouds
Laser Scanning (LiDAR) Edge detection Aerial Photogrammetry Feature Extraction
2015/12/8
Boundary tracing of discrete points is an important step to building model reconstruction using LiDAR data, its result directly effects the location regularization of building corners and the reconstr...
Emotional Valence,Discrete Emotions,and Memory
Emotional Valence Discrete Emotions Memory
2015/11/10
Over the last couple of decades, considerable progress has been made toward understandingwhether and how emotion enhances memory. Much of this research has been limited, however,by its treatment of em...
We analyze the implications of different pricing rules in discrete clock
auctions. The two most common pricing rules are highest-rejected bid
(HRB) and lowest-accepted bid (LAB). Under HRB, the wi...
An Implementable Scheme for Universal Lossy Compression of Discrete Markov Sources
Loss of the compressor discrete source coding sequence decoder lossless compression
2015/8/21
We present a new lossy compressor for discrete sources. For coding a source sequence xn, the encoder starts by assigning a certain cost to each reconstruction sequence. It then finds the reconst...
An Efficient Feedback Coding Scheme With Low Error Probability for Discrete Memoryless Channels
Feedback discrete memoryless channel error exponent
2015/8/17
Existing fixed-length feedback communication schemes are either specialized to particular channels (Schalkwijk–Kailath, Horstein), or apply to general channels but either have high coding comple...
The Capacity Region of the Discrete Memoryless Interference Channelwith Strong Interference
Capacity Region Discrete Memoryless Interference Channelwith Strong Interference
2015/8/12
The capacity region of the discrete memoryless interference channel with strong interference is established.