We present an estimation algorithm for dynamic shock-error models (DSEM) given 1-bit quantized noisy measurements of the input and output. The algorithm is called the binary series estimation algorithm (BSEA). BSEA is computationally inexpensive, since it involves counting the number of occurrences...
A DC offset compensation algorithm is typically used to remove the effect of small DC offsets at the output of the converter. However, the effect of DC offset is more detrimental on quadrature baseband sampling schemes than it is on IF sampling or low IF sampling receivers. In IF sampling ...
According to the Dirac's algorithm of quantization, each first-class constraint function Φµ is replaced with a corresponding linear operator Φµ in a Hilbert space H . Then, the ob- served physical state is required to be a ray in the subspace Hphys = {|ψ∈ H ; Φµ|ψ = ...
Due to the similar visual appearance of malignant tumors and normal cells, the detection and classification of melanoma are considered to be one of the most challenging tasks. Detecting melanoma accurately and promptly is essential to diagnosis and treatment, which can contribute significantly to ...
In Section 3, we introduce and formulate our proposed Quantized Network Coding algorithm, followed by a discussion on its theoretical feasibility, using the restricted isometry property, in Section 4. In Section 5, we present the decoding algorithm used to recover quantized network coded packets and...
to achieve effective reconstruction, where ε is an upper bound ofl2-norm of the noise vectort. A theorem introducing the reconstruction performance of BPDN algorithm in detail is presented in Section 5 which is firstly formulated in[16]. ...
adegeneratequantizedenvelopingalgebra.Moreover,weprovidenormal formsandastraighteningalgorithmforthismonoid.Alltheseresultsare provedbyarealizationintermsofrepresentationsofquivers,namelyas themonoidofgenericextensionsofaquiverwithautomorphism. 1Introduction Inthispaper,weintroduceandstudythequanticmonoidU,anobjectassoci...
This will help in simplifying the control design algorithm. The aim of this section is to design an observer-based feedback stabilizing controller in the form of Eqs. (5.122), (5.123) such that the closed-loop system (5.127) is exponentially stable in the mean square. Our approach is ...
The synchronous evolution of neural networks is beneficial for the normal operation of important functions such as learning, memory and perception. In the cerebral cortex, abnormal synchronized discharge of neurons often leads to some neurophysiological diseases, such as schizophrenia, epilepsy and Alzheime...
In addition, should the digital processing algorithm or process within the gamma pipe create internal values that were not directly mapped from an input value, this internally generated value may map to an output value that an input value does not directly map. This property may be useful, as...