That is, uniform quantization has been applied to residual images in order to reduce the feature dimensionality. In this paper, non-uniform quantization is proposed, developed and utilized to break the HUGO. In constructing non-uniform quantizers, a small portion of available samples from both ...
By representing the nonuniform quantizer characteristic by an infinite Fourier series, new, computationally simple, analytical expressions for predicting the harmonic and intermodulation performance of nonuniform quantizers are presented. Using these expressions nonuniform quantizer characteristics can be tailored...
Mr.BiQ: Post-Training Non-Uniform Quantization based on Minimizing the Reconstruction Error Yongkweon Jeon1,* Chungman Lee1,* Eulrang Cho2,*,† Yeonju Ro3,*,† 1Samsung Research 2Korea University 3The University of Texas at Austin {dragwon.j...
Simulation results show that the proposed scheme could improve detection probability compared to conventional uniform quantization. And the fusion performance without distortion could be achieved with proposed quantizer by only 3 bits quantization.关键词: Analytical models Bandwidth Cognitive radio Collaboration...
Non-uniform parameter quantization for advanced coupling The present disclosure provides methods, devices and computer program products for non-uniform quantization of parameters relating to parametric spatial coding of audio signals. The disclosure further relates to a method and apparatus fo... H·普恩...
In this paper, a chaos based encryption of physiological signal (EEG) is proposed using a multi-level non-uniform quantizer. The encryption performance of the proposed scheme is compared with the existing technique which uses 1-bit quantizer. It is found that the use of multi-level non-...
Also, we assume the error in each half quantization interval (the interval between the decision boundary and the reconstruction) is constant and only a function of the intervals length, i.e., identical to the case where for each interval a uniform dithered quantizer is applied. We also assume...
[85,86] proposed a variational autoencoder consisting of non-linear encoder transform, uniform quantizer, non-linear decoder transform with a post-processing module. The latent space encoding for input image x is y=fE(x) is then quantized to have y^=Q(y)...
Following the Compressed Sensing (CS) paradigm, this paper studies the problem of recovering sparse or compressible signals from (scalar) non-uniformly quantized measurements. We show that a simple adaptation of the Basis Pursuit De-Quantizer introduced earlier, that is, a sign sensitive weighting of...
First, the source is assumed to be analog with the amplitude uniformly distributed within [0,100], quantized using a 12-bit uniform quantizer. We consider various 16-QAM constellations, both symmetric and asymmetric. First, each 12-bit quantization output b0b1 . . . b11 is partitioned into...