diff --git a/kmath-commons/src/main/kotlin/scientifik/kmath/transform/Transformations.kt b/kmath-commons/src/main/kotlin/scientifik/kmath/transform/Transformations.kt
index a4db4b1bd..17907adbe 100644
--- a/kmath-commons/src/main/kotlin/scientifik/kmath/transform/Transformations.kt
+++ b/kmath-commons/src/main/kotlin/scientifik/kmath/transform/Transformations.kt
@@ -2,6 +2,9 @@ package scientifik.kmath.transform
 
 import org.apache.commons.math3.transform.*
 import scientifik.kmath.operations.Complex
+import scientifik.kmath.sequential.Processor
+import scientifik.kmath.sequential.Producer
+import scientifik.kmath.sequential.map
 import scientifik.kmath.structures.*
 
 
@@ -60,4 +63,24 @@ object Transformations {
     ): BufferTransform<Double, Double> = {
         FastHadamardTransformer().transform(it.asArray(), direction).asBuffer()
     }
+}
+
+/**
+ * Process given [Producer] with commons-math fft transformation
+ */
+fun Producer<Buffer<Complex>>.FFT(
+    normalization: DftNormalization = DftNormalization.STANDARD,
+    direction: TransformType = TransformType.FORWARD
+): Processor<Buffer<Complex>, Buffer<Complex>> {
+    val transform = Transformations.fourier(normalization, direction)
+    return map { transform(it) }
+}
+
+@JvmName("realFFT")
+fun Producer<Buffer<Double>>.FFT(
+    normalization: DftNormalization = DftNormalization.STANDARD,
+    direction: TransformType = TransformType.FORWARD
+): Processor<Buffer<Double>, Buffer<Complex>> {
+    val transform = Transformations.realFourier(normalization, direction)
+    return map { transform(it) }
 }
\ No newline at end of file
diff --git a/kmath-sequential/src/commonMain/kotlin/scientifik/kmath/sequential/BufferStreaming.kt b/kmath-sequential/src/commonMain/kotlin/scientifik/kmath/sequential/BufferStreaming.kt
index 9ab23fbb4..ad9e4f259 100644
--- a/kmath-sequential/src/commonMain/kotlin/scientifik/kmath/sequential/BufferStreaming.kt
+++ b/kmath-sequential/src/commonMain/kotlin/scientifik/kmath/sequential/BufferStreaming.kt
@@ -1,178 +1,78 @@
 package scientifik.kmath.sequential
 
-import kotlinx.atomicfu.atomic
 import kotlinx.coroutines.CoroutineScope
-import kotlinx.coroutines.GlobalScope
-import kotlinx.coroutines.channels.*
+import kotlinx.coroutines.channels.Channel
+import kotlinx.coroutines.channels.produce
 import kotlinx.coroutines.isActive
-import kotlinx.coroutines.launch
+import kotlinx.coroutines.sync.Mutex
+import kotlinx.coroutines.sync.withLock
 import scientifik.kmath.structures.Buffer
-import scientifik.kmath.structures.asBuffer
-import scientifik.kmath.structures.asSequence
-
-fun <T> Buffer<T>.asChannel(scope: CoroutineScope): ReceiveChannel<T> = scope.produce {
-    for (i in (0 until size)) {
-        send(get(i))
-    }
-}
-
-
-interface BufferProducer<T> : Producer<T> {
-    suspend fun receiveBuffer(): Buffer<T>
-}
-
-interface BufferConsumer<T> : Consumer<T> {
-    suspend fun sendBuffer(buffer: Buffer<T>)
-}
-
-abstract class AbstractBufferProducer<T>(scope: CoroutineScope) : AbstractProducer<T>(scope), BufferProducer<T> {
-
-    override fun connectOutput(consumer: Consumer<T>) {
-        if (consumer is BufferConsumer) {
-            launch {
-                while (this.isActive) {
-                    consumer.sendBuffer(receiveBuffer())
-                }
-            }
-        } else {
-            super.connectOutput(consumer)
-        }
-    }
-}
-
-abstract class AbstractBufferConsumer<T>(scope: CoroutineScope) : AbstractConsumer<T>(scope), BufferConsumer<T> {
-    override fun connectInput(producer: Producer<T>) {
-        if (producer is BufferProducer) {
-            launch {
-                while (isActive) {
-                    sendBuffer(producer.receiveBuffer())
-                }
-            }
-        } else {
-            super.connectInput(producer)
-        }
-    }
-}
-
-abstract class AbstractBufferProcessor<T, R>(scope: CoroutineScope) :
-    AbstractProcessor<T, R>(scope),
-    BufferProducer<R>,
-    BufferConsumer<T> {
-
-    override fun connectOutput(consumer: Consumer<R>) {
-        if (consumer is BufferConsumer) {
-            launch {
-                while (this.isActive) {
-                    consumer.sendBuffer(receiveBuffer())
-                }
-            }
-        } else {
-            super.connectOutput(consumer)
-        }
-    }
-
-    override fun connectInput(producer: Producer<T>) {
-        if (producer is BufferProducer) {
-            launch {
-                while (isActive) {
-                    sendBuffer(producer.receiveBuffer())
-                }
-            }
-        } else {
-            super.connectInput(producer)
-        }
-    }
-}
+import scientifik.kmath.structures.BufferFactory
 
 /**
- * The basic generic buffer producer supporting both arrays and element-by-element simultaneously
+ * A processor that collects incoming elements into fixed size buffers
  */
-class BasicBufferProducer<T>(
+class JoinProcessor<T>(
     scope: CoroutineScope,
-    capacity: Int = Channel.UNLIMITED,
-    block: suspend ProducerScope<Buffer<T>>.() -> Unit
-) : AbstractBufferProducer<T>(scope) {
+    bufferSize: Int,
+    bufferFactory: BufferFactory<T> = Buffer.Companion::boxing
+) : AbstractProcessor<T, Buffer<T>>(scope) {
 
+    private val input = Channel<T>(bufferSize)
 
-    private val currentArray = atomic<ReceiveChannel<T>?>(null)
-    private val channel: ReceiveChannel<Buffer<T>> by lazy { produce(capacity = capacity, block = block) }
-    private val cachingChannel by lazy {
-        channel.map {
-            it.also { buffer -> currentArray.lazySet(buffer.asChannel(this)) }
-        }
-    }
-
-    private fun DoubleArray.asChannel() = produce {
-        for (value in this@asChannel) {
-            send(value)
-        }
-    }
-
-    override suspend fun receiveBuffer(): Buffer<T> = cachingChannel.receive()
-
-    override suspend fun receive(): T = (currentArray.value ?: cachingChannel.receive().asChannel(this)).receive()
-}
-
-
-class BufferReducer<T, S>(
-    scope: CoroutineScope,
-    initialState: S,
-    val fold: suspend (S, Buffer<T>) -> S
-) : AbstractBufferConsumer<T>(scope) {
-
-    var state: S = initialState
-        private set
-
-    override suspend fun sendBuffer(buffer: Buffer<T>) {
-        state = fold(state, buffer)
-    }
-
-    override suspend fun send(value: T) = sendBuffer(arrayOf(value).asBuffer())
-}
-
-/**
- * Convert a [Buffer] to single element producer, splitting it in chunks if necessary
- */
-fun <T> Buffer<T>.produce(scope: CoroutineScope = GlobalScope, chunkSize: Int = Int.MAX_VALUE) =
-    if (size < chunkSize) {
-        BasicBufferProducer<T>(scope) { send(this@produce) }
-    } else {
-        BasicBufferProducer<T>(scope) {
-            //TODO optimize this!
-            asSequence().chunked(chunkSize).forEach {
-                send(it.asBuffer())
+    private val output = produce(coroutineContext) {
+        val list = ArrayList<T>(bufferSize)
+        while (isActive) {
+            list.clear()
+            repeat(bufferSize) {
+                list.add(input.receive())
             }
+            val buffer = bufferFactory(bufferSize) { list[it] }
+            send(buffer)
         }
     }
 
-
-/**
- * A buffer processor that works with buffers but could accumulate at lest [accumulate] elements from single input before processing.
- *
- * This class combines functions from [ChunkProcessor] and single buffer processor
- */
-class AccumulatingBufferProcessor<T, R>(
-    scope: CoroutineScope,
-    val accumulate: Int,
-    val process: suspend (Buffer<T>) -> Buffer<R>
-) :
-    AbstractBufferProcessor<T, R>(scope) {
-
-    private val inputChannel = Channel<Buffer<T>>()
-    private val outputChannel = inputChannel.map { process(it) }
-
-    override suspend fun receive(): R {
-        TODO("not implemented") //To change body of created functions use File | Settings | File Templates.
-    }
+    override suspend fun receive(): Buffer<T> = output.receive()
 
     override suspend fun send(value: T) {
-        TODO("not implemented") //To change body of created functions use File | Settings | File Templates.
+        input.send(value)
+    }
+}
+
+/**
+ * A processor that splits incoming buffers into individual elements
+ */
+class SplitProcessor<T>(scope: CoroutineScope) : AbstractProcessor<Buffer<T>, T>(scope) {
+
+    private val input = Channel<Buffer<T>>()
+
+    private val mutex = Mutex()
+
+    private var currentBuffer: Buffer<T>? = null
+
+    private var pos = 0
+
+
+    override suspend fun receive(): T {
+        mutex.withLock {
+            while (currentBuffer == null || pos == currentBuffer!!.size) {
+                currentBuffer = input.receive()
+                pos = 0
+            }
+            return currentBuffer!![pos].also { pos++ }
+        }
     }
 
-    override suspend fun receiveBuffer(): Buffer<R> = outputChannel.receive()
-
-    override suspend fun sendBuffer(buffer: Buffer<T>) {
-        inputChannel.send(buffer)
+    override suspend fun send(value: Buffer<T>) {
+        input.send(value)
     }
+}
+
+fun <T> Producer<T>.chunked(chunkSize: Int, bufferFactory: BufferFactory<T>) =
+    JoinProcessor<T>(this, chunkSize, bufferFactory).also { connect(it) }
+
+inline fun <reified T : Any> Producer<T>.chunked(chunkSize: Int) =
+    JoinProcessor<T>(this, chunkSize, Buffer.Companion::auto).also { connect(it) }
+
+
 
-}
\ No newline at end of file
diff --git a/kmath-sequential/src/commonMain/kotlin/scientifik/kmath/sequential/Streaming.kt b/kmath-sequential/src/commonMain/kotlin/scientifik/kmath/sequential/Streaming.kt
index cc4a68761..c0332d639 100644
--- a/kmath-sequential/src/commonMain/kotlin/scientifik/kmath/sequential/Streaming.kt
+++ b/kmath-sequential/src/commonMain/kotlin/scientifik/kmath/sequential/Streaming.kt
@@ -170,33 +170,6 @@ class PipeProcessor<T, R>(
     }
 }
 
-/**
- * A [Processor] that splits the input in fixed chunked size and transforms each chunked
- */
-class ChunkProcessor<T, R>(
-    scope: CoroutineScope,
-    chunkSize: Int,
-    process: suspend (List<T>) -> R
-) : AbstractProcessor<T, R>(scope) {
-
-    private val input = Channel<T>(chunkSize)
-
-    private val chunked = produce<List<T>>(coroutineContext) {
-        val list = ArrayList<T>(chunkSize)
-        repeat(chunkSize) {
-            list.add(input.receive())
-        }
-        send(list)
-    }
-
-    private val output: ReceiveChannel<R> = chunked.map(coroutineContext, process)
-
-    override suspend fun receive(): R = output.receive()
-
-    override suspend fun send(value: T) {
-        input.send(value)
-    }
-}
 
 /**
  * A moving window [Processor] with circular buffer
@@ -276,6 +249,9 @@ fun <T> ReceiveChannel<T>.produce(scope: CoroutineScope = GlobalScope) =
 fun <T, C : Consumer<T>> Producer<T>.consumer(consumerFactory: () -> C): C =
     consumerFactory().also { connect(it) }
 
+fun <T, R> Producer<T>.map(capacity: Int = Channel.RENDEZVOUS, process: suspend (T) -> R) =
+    PipeProcessor(this, capacity, process).also { connect(it) }
+
 /**
  * Create a reducer and connect this producer to reducer
  */
@@ -294,7 +270,6 @@ fun <T, R, P : Processor<T, R>> Producer<T>.process(processorBuilder: () -> P):
 fun <T, R> Producer<T>.process(capacity: Int = Channel.RENDEZVOUS, process: suspend (T) -> R) =
     PipeProcessor<T, R>(this, capacity, process).also { connect(it) }
 
-fun <T, R> Producer<T>.chunked(chunkSize: Int, process: suspend (List<T>) -> R) =
-    ChunkProcessor(this, chunkSize, process).also { connect(it) }
 
-fun <T> Producer<T>.chunked(chunkSize: Int) = chunked(chunkSize) { it }
+fun <T, R> Producer<T>.windowed(window: Int, process: suspend (Buffer<T?>) -> R) =
+    WindowedProcessor(this, window, process).also { connect(it) }
\ No newline at end of file