Lsi Corporation

Splunk Inc.

Oak Technology, Inc.

Cisco Technology, Inc.

Cadence Design Systems, Inc.

Zoran Corporation

Xiao Lin

Louis Joseph Serrano

Zhaohui Wang

Chandrima Sarkar

Ryan Gannon

Ram Sriharsha

Jian Liu

Abhinav Mishra

Jiayuan Fang

Long Nguyen

Anyu Kuo

A computerized method for detection of format drift and format anomalies is described. A format representation for each data point of a first data sample is extracted. Transformations of each format representation is conducted, resulting in a first plurality of count values (reference) and a second plurality of count values. Each count value identifies a number of occurrences of a transformed format representation within that data sample. Thereafter, a first probability distribution for the first plurality of count values and a second probability distribution for the second plurality of count values are computed. Analytics using the first and probability distributions are conducted to produce a first metric. A format drift is determined based on an evaluation of the first metric to a second metric operating as a threshold metric. Format anomalies are detected based on analytics of hashed format representation and determination of infrequent usage of a particular format representation.

System and method for format drift and format anomaly detection

A computerized method for detection of categorical drift within an incoming data stream. Herein, an error threshold is computed based on a first set of training data samples selected to detect categorical drift occurring for a data stream. Thereafter, probability distributions associated with content of a first and second data samples of the data stream are computed. Analytics are conducted to compute a difference between content of the first probability distribution that is based on a first data point of the first data sample and content of the second probability distribution that is based on a first data point of the second data sample. After computing the difference, that categorical drift is determined whether categorical drift detection has been conducted.

System and method for categorical drift detection

A computerized method is disclosed including operations of receiving a data stream, performing a changepoint detection resulting in a detection of changepoints in the data stream including: maintaining a listing of starting indices for each run within the data stream in a buffer of size L wherein each index of the listing has a run length probability representing a likelihood of being a changepoint, receiving a new data point within the data stream and adding a new index to the buffer resulting in the buffer having size L+1, calculating a posterior run length probability that the new data point is a changepoint, and removing an index from the listing that has a lowest run length probability thereby returning the buffer to size L, and responsive to determining the index removed from the listing does not correspond to the new data point, identifying a changepoint associated with the new data point.

System and method for changepoint detection in streaming data

Methods, systems, and computer readable media are disclosed for simulating a circuit. The method may comprise a step of providing a network model of the circuit having a plurality of ports, the plurality of ports being associated with one or more net pairs. The method may also comprise combining the plurality of ports into one or more groups based on the net pairs, each group corresponding to a net pair. In addition, the method may comprise calculating, for each group, one or more expansion elements, wherein the one or more expansion elements are associated with a shared property among all ports of the group. Moreover, the method may comprise simulating the circuit using a combination of the expansion elements calculated for each group.

Methods, systems, and computer-readable media for model order reduction in electromagnetic simulation and modeling

An apparatus comprising a center error creation circuit and a center error offset injection circuit. The center error creation circuit may be configured to generate a center error signal in response to light from a main laser reflected from a surface of an optical disc. The center error offset injection circuit may be configured to (i) determine a value of the center error signal when a lens in a sled housing is at a mechanical center and (ii) generate an offset signal based upon the value. The center error offset injection circuit generally measures an average value of the center error signal over a predetermined amount of time when a lens suspension which holds the lens in place is in a mechanical equilibrium state.

Center error mechanical center adjustment

An apparatus comprising a center error creation circuit, a center error controller, and a center error repeatable run out circuit. The center error creation circuit may be configured to generate a center error signal in response to photo-diode signals. The center error controller may be configured to adjust a lens to a center position in a sled housing with a step motor in response to a center error measure signal. The center error repeatable run out circuit may be configured to generate a center error run out signal and the center error measure signal in response to the center error signal. The center error repeatable run out circuit may generate the center error measure signal by measuring the center error signal when the center error run out signal is in a peak phase.

CE to RRO cancellation for sled control

An apparatus comprising a center error creation circuit, a center error offset injection circuit and a center error controller. The center error creation circuit may be configured to generate a center error signal in response to one or more photo-diode signals. The center error offset injection circuit may be configured to (i) offset the center error signal and (ii) generate an offset signal. The lens controller may be configured to adjust a lens in a sled housing at a mechanical center is response to the offset signal when the apparatus is in a rough seek mode.

A method and apparatus position a beam spot on a recording medium. The positioning includes (a) observing a first center error in a first closed loop control during tracking mode, the first center error including a repeatable run out (RRO) error, (b) estimating a center error (CE)-RRO from the first center error, the CE-RRO being part of the first center error caused by the RRO, (c) observing a second center error in a second closed loop control during a rough seek, (d) subtracting the CE-RRO from the second center error, (e) controlling the beam spot based on the second center error less the CE-RRO during the rough seek, and (f) adding an open loop control to the second closed loop control during the rough seek, the added open loop control inducing a motion of the lens relative to an optical center of the OPU during the rough seek.

Method and apparatus for positioning beam spot on recording medium

A method and apparatus for normalized bit counting is described. The method comprising incrementing a bit counter using a first clock, and adjusting a target bit based on a difference in frequency between the first clock and a second clock. The method further comprising determining when the bit counter reaches the adjusted target bit.

Method and apparatus for using a frequency difference to adjust a target bit for bit counting

A method and apparatus for providing of normalizing a bit count is provided. The method comprises counting bits for a first frame, and normalizing a target bit in a target frame using the bits of the frame. The method then comprises counting to the normalized target bit in the target frame.

Method and apparatus for normalized bit counting

Method and system for estimating an optimal power level for writing on a compact disk. Measured values m(P ) of a modulation amplitude are approximated by a continuous function m(P)&equals;1&minus;A/(P&minus;P &plus;B) of power level P, where C&equals;1 and B&equals;A, and the parameter A is to be determined, or where all three parameters A, B and C are to be determined. A selected derivative of modulation amplitude, &ggr;&equals;(P/m(P)&middot;(dm/dP) is computed and analyzed to estimate a value of power level P corresponding to a specified value of &ggr;.

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Xiao Lin